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    | @@ -105,7 +105,7 @@ wespeaker - Speaker embedding techniques | |
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            - **Output**: Speaker segments with timestamps and IDs
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            - **Framework**: CoreML (converted from PyTorch)
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            - **Optimization**: Apple Neural Engine (ANE) optimized operations
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            -
            - **Precision**: FP32
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            ## Training Data
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            - **Output**: Speaker segments with timestamps and IDs
         | 
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            - **Framework**: CoreML (converted from PyTorch)
         | 
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            - **Optimization**: Apple Neural Engine (ANE) optimized operations
         | 
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            +
            - **Precision**: FP32 on CPU/GPU, FP16 on ANE
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            ## Training Data
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